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Using Python for Introductory Econometrics

Using Python for Introductory Econometrics - Paperback

by Daniel Brunner, Florian Heiss
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Availability:In StockContributor:Daniel Brunner, Florian HeissPublish date:2020-05-25Pages:430
Language:EnglishPublisher:Independently PublishedISBN-13:9798648436763ISBN-10:8648436761UPC:9798648436763Book Category:Business & EconomicsBook Subcategory:EconometricsSize:10.00 x 8.00 x 0.87 inchesWeight:1.8717Product ID:SCB5964GJQ

  • Introduces the popular, powerful and free programming language and software package Python
  • Focus: implementation of standard tools and methods used in econometrics
  • Compatible with "Introductory Econometrics" by Jeffrey M. Wooldridge in terms of topics, organization, terminology and notation
  • Companion website with full text, all code for download and other goodies

Topics:

  • A gentle introduction to Python
  • Simple and multiple regression in matrix form and using black box routines
  • Inference in small samples and asymptotics
  • Monte Carlo simulations
  • Heteroscedasticity
  • Time series regression
  • Pooled cross-sections and panel data
  • Instrumental variables and two-stage least squares
  • Simultaneous equation models
  • Limited dependent variables: binary, count data, censoring, truncation, and sample selection
  • Formatted reports using Jupyter Notebooks

Language:EnglishPublisher:Independently PublishedISBN-13:9798648436763ISBN-10:8648436761UPC:9798648436763Book Category:Business & EconomicsBook Subcategory:EconometricsSize:10.00 x 8.00 x 0.87 inchesWeight:1.8717Product ID:SCB5964GJQ
Publisher: Independently Published

Contributor(s)

Daniel Brunner, Florian Heiss

Author

Daniel Brunner, Florian Heiss

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